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Knowledge Engineering and Management by the Masses

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Cover of 'Knowledge Engineering and Management by the Masses'

Table of Contents

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    Book Overview
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    Chapter 1 Pattern-Based Mapping Refinement
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    Chapter 2 Practical Considerations on Identity for Instance Management in Ontological Investigation
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    Chapter 3 Involving Business Users in Formal Modeling Using Natural Language Pattern Sentences
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    Chapter 4 Knowledge Acquisition from Sources of Law in Public Administration
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    Chapter 5 Knowledge Engineering and Management by the Masses
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    Chapter 6 Ontology Development for the Masses: Creating ICD-11 in WebProtégé
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    Chapter 7 RDFauthor: Employing RDFa for Collaborative Knowledge Engineering
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    Chapter 8 Pattern-Based Ontology Transformation Service Exploiting OPPL and OWL-API
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    Chapter 9 Experimenting with eXtreme Design
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    Chapter 10 Weaving a Social Data Web with Semantic Pingback
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    Chapter 11 Social People-Tagging vs. Social Bookmark-Tagging
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    Chapter 12 FOLCOM or the Costs of Tagging
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    Chapter 13 Epiphany: Adaptable RDFa Generation Linking the Web of Documents to the Web of Data
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    Chapter 14 Knowledge Engineering and Management by the Masses
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    Chapter 15 Using Semantic Web Resources for Data Quality Management
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    Chapter 16 Using Ontological Contexts to Assess the Relevance of Statements in Ontology Evolution
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    Chapter 17 What Is Concept Drift and How to Measure It?
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    Chapter 18 Mobile Cultural Heritage Guide: Location-Aware Semantic Search
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    Chapter 19 Semantic Scout: Making Sense of Organizational Knowledge
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    Chapter 20 Authoring Technical Documents for Effective Retrieval
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    Chapter 21 Knowledge Engineering and Management by the Masses
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    Chapter 22 Towards Better Ontological Support for Recognizing Textual Entailment
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    Chapter 23 Making Sense of Design Patterns
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    Chapter 24 Acquiring and Modelling Legal Knowledge Using Patterns: An Application for the Dutch Immigration and Naturalisation Service
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    Chapter 25 A Model-Driven Approach for Using Templates in OWL Ontologies
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    Chapter 26 Specialization and Validation of Statecharts in OWL
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    Chapter 27 Temporal Knowledge Acquisition and Modeling
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    Chapter 28 Using Machine Learning to Support Continuous Ontology Development
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    Chapter 29 Handling Markup Overlaps Using OWL
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    Chapter 30 Ontology Learning for Cost-Effective Large-Scale Semantic Annotation of Web Service Interfaces
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    Chapter 31 Towards Hybrid Reasoning for Verifying and Validating Multilevel Models
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    Chapter 32 Representing, Proving and Sharing Trustworthiness of Web Resources Using Veracity
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    Chapter 33 Enhancing Content-Based Recommendation with the Task Model of Classification
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    Chapter 34 Extending Open Rating Systems for Ontology Ranking and Reuse
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    Chapter 35 HyperTwitter: Collaborative Knowledge Engineering via Twitter Messages
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    Chapter 36 TagSorting: A Tagging Environment for Collaboratively Building Ontologies
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    Chapter 37 QuiKey – An Efficient Semantic Command Line
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    Chapter 38 Kali-ma: A Semantic Guide to Browsing and Accessing Functionalities in Plugin-Based Tools
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    Chapter 39 Constructing Understandable Explanations for Semantic Search Results
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    Chapter 40 Ontology Engineering with Rough Concepts and Instances
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    Chapter 41 Building Large Lexicalized Ontologies from Text: A Use Case in Automatic Indexing of Biotechnology Patents
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    Chapter 42 ReBEC: A Method for Capturing Experience during Software Development Projects
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    Chapter 43 Knowledge Engineering and Management by the Masses
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    Chapter 44 Evaluations of User-Driven Ontology Summarization
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    Chapter 45 A Visualization Service for the Semantic Web
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    Chapter 46 How Much Semantic Data on Small Devices?
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    Chapter 47 A Semantic Approach for Learning Objects Repositories with Knowledge Reuse
Attention for Chapter 7: RDFauthor: Employing RDFa for Collaborative Knowledge Engineering
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Chapter title
RDFauthor: Employing RDFa for Collaborative Knowledge Engineering
Chapter number 7
Book title
Knowledge Engineering and Management by the Masses
Published by
Springer, Berlin, Heidelberg, October 2010
DOI 10.1007/978-3-642-16438-5_7
Book ISBNs
978-3-64-216437-8, 978-3-64-216438-5
Authors

Sebastian Tramp, Norman Heino, Sören Auer, Philipp Frischmuth, Tramp, Sebastian, Heino, Norman, Auer, Sören, Frischmuth, Philipp

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 8%
Ireland 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 44%
Student > Master 6 24%
Researcher 3 12%
Student > Bachelor 2 8%
Librarian 1 4%
Other 2 8%
Readers by discipline Count As %
Computer Science 21 84%
Agricultural and Biological Sciences 1 4%
Psychology 1 4%
Design 1 4%
Unknown 1 4%